XYZ Sports Dataset

Dataset statistics

Number of variables	31
Number of observations	14942
Missing cells	1443
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.5 MiB
Average record size in memory	248.0 B

Variable types

Numeric	11
Categorical	17
DateTime	3

Alerts

`DanceActivities` has constant value ""	Constant
`NatureActivities` has constant value ""	Constant
`Age` is highly overall correlated with `Income` and 2 other fields	High correlation
`Income` is highly overall correlated with `Age`	High correlation
`DaysWithoutFrequency` is highly overall correlated with `RealNumberOfVisits`	High correlation
`LifetimeValue` is highly overall correlated with `NumberOfFrequencies` and 1 other fields	High correlation
`NumberOfFrequencies` is highly overall correlated with `LifetimeValue` and 1 other fields	High correlation
`AttendedClasses` is highly overall correlated with `AllowedWeeklyVisitsBySLA` and 1 other fields	High correlation
`AllowedWeeklyVisitsBySLA` is highly overall correlated with `AttendedClasses` and 3 other fields	High correlation
`AllowedNumberOfVisitsBySLA` is highly overall correlated with `AttendedClasses` and 1 other fields	High correlation
`RealNumberOfVisits` is highly overall correlated with `DaysWithoutFrequency`	High correlation
`NumberOfRenewals` is highly overall correlated with `LifetimeValue` and 1 other fields	High correlation
`LastPeriodStart` is highly overall correlated with `LastPeriodFinish` and 1 other fields	High correlation
`LastPeriodFinish` is highly overall correlated with `LastPeriodStart` and 1 other fields	High correlation
`WaterActivities` is highly overall correlated with `Age` and 2 other fields	High correlation
`FitnessActivities` is highly overall correlated with `Age` and 2 other fields	High correlation
`HasReferences` is highly overall correlated with `NumberOfReferences`	High correlation
`NumberOfReferences` is highly overall correlated with `HasReferences`	High correlation
`Dropout` is highly overall correlated with `LastPeriodStart` and 1 other fields	High correlation
`UseByTime` is highly imbalanced (72.6%)	Imbalance
`AthleticsActivities` is highly imbalanced (93.7%)	Imbalance
`TeamActivities` is highly imbalanced (69.1%)	Imbalance
`RacketActivities` is highly imbalanced (84.0%)	Imbalance
`CombatActivities` is highly imbalanced (50.6%)	Imbalance
`SpecialActivities` is highly imbalanced (82.3%)	Imbalance
`OtherActivities` is highly imbalanced (98.0%)	Imbalance
`HasReferences` is highly imbalanced (85.9%)	Imbalance
`NumberOfReferences` is highly imbalanced (92.4%)	Imbalance
`Income` has 495 (3.3%) missing values	Missing
`AllowedWeeklyVisitsBySLA` has 535 (3.6%) missing values	Missing
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Income` has 2123 (14.2%) zeros	Zeros
`DaysWithoutFrequency` has 604 (4.0%) zeros	Zeros
`AttendedClasses` has 10432 (69.8%) zeros	Zeros
`RealNumberOfVisits` has 2698 (18.1%) zeros	Zeros
`NumberOfRenewals` has 6103 (40.8%) zeros	Zeros

Reproduction

Analysis started	2023-11-20 19:42:59.810582
Analysis finished	2023-11-20 19:44:25.904866
Duration	1 minute and 26.09 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

ID
Real number (ℝ)

UNIFORM UNIQUE

Distinct	14942
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17470.5

Minimum	10000
Maximum	24941
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	10000
5-th percentile	10747.05
Q1	13735.25
median	17470.5
Q3	21205.75
95-th percentile	24193.95
Maximum	24941
Range	14941
Interquartile range (IQR)	7470.5

Descriptive statistics

Standard deviation	4313.5282
Coefficient of variation (CV)	0.24690353
Kurtosis	-1.2
Mean	17470.5
Median Absolute Deviation (MAD)	3735.5
Skewness	0
Sum	2.6104421 × 10⁸
Variance	18606526
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	1	< 0.1%
19966	1	< 0.1%
19954	1	< 0.1%
19955	1	< 0.1%
19956	1	< 0.1%
19957	1	< 0.1%
19958	1	< 0.1%
19959	1	< 0.1%
19960	1	< 0.1%
19961	1	< 0.1%
Other values (14932)	14932	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10000	1	< 0.1%
10001	1	< 0.1%
10002	1	< 0.1%
10003	1	< 0.1%
10004	1	< 0.1%
10005	1	< 0.1%
10006	1	< 0.1%
10007	1	< 0.1%
10008	1	< 0.1%
10009	1	< 0.1%

Value	Count	Frequency (%)
24941	1	< 0.1%
24940	1	< 0.1%
24939	1	< 0.1%
24938	1	< 0.1%
24937	1	< 0.1%
24936	1	< 0.1%
24935	1	< 0.1%
24934	1	< 0.1%
24933	1	< 0.1%
24932	1	< 0.1%

Age
Real number (ℝ)

HIGH CORRELATION

Distinct	88
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.015794

Minimum	0
Maximum	87
Zeros	19
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	19
median	23
Q3	31
95-th percentile	56
Maximum	87
Range	87
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	14.156582
Coefficient of variation (CV)	0.54415338
Kurtosis	1.6773916
Mean	26.015794
Median Absolute Deviation (MAD)	5
Skewness	1.0733012
Sum	388728
Variance	200.40883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	1187	7.9%
21	1166	7.8%
20	987	6.6%
23	954	6.4%
19	899	6.0%
24	750	5.0%
25	583	3.9%
26	443	3.0%
27	359	2.4%
29	297	2.0%
Other values (78)	7317	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	0.1%
1	152	1.0%
2	213	1.4%
3	189	1.3%
4	174	1.2%
5	180	1.2%
6	163	1.1%
7	170	1.1%
8	145	1.0%
9	148	1.0%

Value	Count	Frequency (%)
87	1	< 0.1%
86	1	< 0.1%
85	3	< 0.1%
84	2	< 0.1%
83	7	< 0.1%
82	5	< 0.1%
81	5	< 0.1%
80	12	0.1%
79	4	< 0.1%
78	6	< 0.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

Female	8931
Male	6011

Length

Max length	6
Median length	6
Mean length	5.1954223
Min length	4

Characters and Unicode

Total characters	77630
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	8931	59.8%
Male	6011	40.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	8931	59.8%
male	6011	40.2%

Most occurring characters

Value	Count	Frequency (%)
e	23873	30.8%
a	14942	19.2%
l	14942	19.2%
F	8931	11.5%
m	8931	11.5%
M	6011	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	62688	80.8%
Uppercase Letter	14942	19.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23873	38.1%
a	14942	23.8%
l	14942	23.8%
m	8931	14.2%

Uppercase Letter

Value	Count	Frequency (%)
F	8931	59.8%
M	6011	40.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	77630	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23873	30.8%
a	14942	19.2%
l	14942	19.2%
F	8931	11.5%
m	8931	11.5%
M	6011	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23873	30.8%
a	14942	19.2%
l	14942	19.2%
F	8931	11.5%
m	8931	11.5%
M	6011	7.7%

Income
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	737
Distinct (%)	5.1%
Missing	495
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	2230.8161

Minimum	0
Maximum	10890
Zeros	2123
Zeros (%)	14.2%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1470
median	1990
Q3	2790
95-th percentile	5400
Maximum	10890
Range	10890
Interquartile range (IQR)	1320

Descriptive statistics

Standard deviation	1566.5277
Coefficient of variation (CV)	0.70222182
Kurtosis	1.4940448
Mean	2230.8161
Median Absolute Deviation (MAD)	630
Skewness	0.9781665
Sum	32228600
Variance	2454009.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2123	14.2%
1890	84	0.6%
1820	82	0.5%
1970	80	0.5%
1710	79	0.5%
2160	79	0.5%
1730	79	0.5%
2030	78	0.5%
1700	77	0.5%
1510	77	0.5%
Other values (727)	11609	77.7%
(Missing)	495	3.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2123	14.2%
290	1	< 0.1%
370	1	< 0.1%
390	2	< 0.1%
410	1	< 0.1%
450	1	< 0.1%
470	1	< 0.1%
550	1	< 0.1%
560	1	< 0.1%
620	1	< 0.1%

Value	Count	Frequency (%)
10890	1	< 0.1%
10260	1	< 0.1%
9840	1	< 0.1%
9720	1	< 0.1%
9630	1	< 0.1%
9600	1	< 0.1%
9530	1	< 0.1%
9400	1	< 0.1%
8980	1	< 0.1%
8950	1	< 0.1%

EnrollmentStart
Date

Distinct	1490
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

Minimum	2014-06-02 00:00:00
Maximum	2019-10-21 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

EnrollmentFinish
Date

Distinct	1300
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

Minimum	2014-06-02 00:00:00
Maximum	2019-10-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

LastPeriodStart
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

2019-07-01	3172
2016-01-01	1919
2018-01-01	1870
2019-01-01	1734
2015-01-01	1504
Other values (7)	4743

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	149420
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019-07-01
2nd row	2015-01-01
3rd row	2017-01-01
4th row	2018-07-01
5th row	2018-01-01

Common Values

Value	Count	Frequency (%)
2019-07-01	3172	21.2%
2016-01-01	1919	12.8%
2018-01-01	1870	12.5%
2019-01-01	1734	11.6%
2015-01-01	1504	10.1%
2017-01-01	1448	9.7%
2018-07-01	838	5.6%
2016-07-01	727	4.9%
2015-07-01	674	4.5%
2017-07-01	619	4.1%
Other values (2)	437	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-07-01	3172	21.2%
2016-01-01	1919	12.8%
2018-01-01	1870	12.5%
2019-01-01	1734	11.6%
2015-01-01	1504	10.1%
2017-01-01	1448	9.7%
2018-07-01	838	5.6%
2016-07-01	727	4.9%
2015-07-01	674	4.5%
2017-07-01	619	4.1%
Other values (2)	437	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	44826	30.0%
1	38364	25.7%
-	29884	20.0%
2	14942	10.0%
7	8529	5.7%
9	4906	3.3%
8	2708	1.8%
6	2646	1.8%
5	2178	1.5%
4	437	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119536	80.0%
Dash Punctuation	29884	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	44826	37.5%
1	38364	32.1%
2	14942	12.5%
7	8529	7.1%
9	4906	4.1%
8	2708	2.3%
6	2646	2.2%
5	2178	1.8%
4	437	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	29884	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	149420	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	44826	30.0%
1	38364	25.7%
-	29884	20.0%
2	14942	10.0%
7	8529	5.7%
9	4906	3.3%
8	2708	1.8%
6	2646	1.8%
5	2178	1.5%
4	437	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	149420	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	44826	30.0%
1	38364	25.7%
-	29884	20.0%
2	14942	10.0%
7	8529	5.7%
9	4906	3.3%
8	2708	1.8%
6	2646	1.8%
5	2178	1.5%
4	437	0.3%

LastPeriodFinish
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

2019-12-31	3694
2018-12-31	1748
2016-12-31	1722
2019-06-30	1501
2016-06-30	1197
Other values (6)	5080

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	149420
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019-12-31
2nd row	2015-12-31
3rd row	2017-06-30
4th row	2019-06-30
5th row	2018-06-30

Common Values

Value	Count	Frequency (%)
2019-12-31	3694	24.7%
2018-12-31	1748	11.7%
2016-12-31	1722	11.5%
2019-06-30	1501	10.0%
2016-06-30	1197	8.0%
2015-06-30	1017	6.8%
2017-06-30	991	6.6%
2018-06-30	987	6.6%
2017-12-31	931	6.2%
2015-12-31	853	5.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-12-31	3694	24.7%
2018-12-31	1748	11.7%
2016-12-31	1722	11.5%
2019-06-30	1501	10.0%
2016-06-30	1197	8.0%
2015-06-30	1017	6.8%
2017-06-30	991	6.6%
2018-06-30	987	6.6%
2017-12-31	931	6.2%
2015-12-31	853	5.7%

Most occurring characters

Value	Count	Frequency (%)
1	33440	22.4%
-	29884	20.0%
0	26328	17.6%
2	24191	16.2%
3	14942	10.0%
6	8612	5.8%
9	5195	3.5%
8	2735	1.8%
7	1922	1.3%
5	1870	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119536	80.0%
Dash Punctuation	29884	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	33440	28.0%
0	26328	22.0%
2	24191	20.2%
3	14942	12.5%
6	8612	7.2%
9	5195	4.3%
8	2735	2.3%
7	1922	1.6%
5	1870	1.6%
4	301	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	29884	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	149420	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	33440	22.4%
-	29884	20.0%
0	26328	17.6%
2	24191	16.2%
3	14942	10.0%
6	8612	5.8%
9	5195	3.5%
8	2735	1.8%
7	1922	1.3%
5	1870	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	149420	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	33440	22.4%
-	29884	20.0%
0	26328	17.6%
2	24191	16.2%
3	14942	10.0%
6	8612	5.8%
9	5195	3.5%
8	2735	1.8%
7	1922	1.3%
5	1870	1.3%

DateLastVisit
Date

Distinct	1384
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

Minimum	2014-07-03 00:00:00
Maximum	2019-10-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

DaysWithoutFrequency
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	660
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.224936

Minimum	0
Maximum	1745
Zeros	604
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	13
median	41
Q3	83.75
95-th percentile	300
Maximum	1745
Range	1745
Interquartile range (IQR)	70.75

Descriptive statistics

Standard deviation	144.19958
Coefficient of variation (CV)	1.7753116
Kurtosis	36.668263
Mean	81.224936
Median Absolute Deviation (MAD)	30
Skewness	5.1947271
Sum	1213663
Variance	20793.518
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	604	4.0%
1	563	3.8%
5	393	2.6%
2	380	2.5%
3	349	2.3%
12	282	1.9%
13	220	1.5%
6	220	1.5%
39	207	1.4%
41	196	1.3%
Other values (650)	11528	77.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	604	4.0%
1	563	3.8%
2	380	2.5%
3	349	2.3%
4	99	0.7%
5	393	2.6%
6	220	1.5%
7	137	0.9%
8	176	1.2%
9	142	1.0%

Value	Count	Frequency (%)
1745	1	< 0.1%
1717	1	< 0.1%
1710	1	< 0.1%
1681	1	< 0.1%
1670	1	< 0.1%
1633	1	< 0.1%
1630	1	< 0.1%
1624	1	< 0.1%
1620	1	< 0.1%
1603	1	< 0.1%

LifetimeValue
Real number (ℝ)

HIGH CORRELATION

Distinct	5668
Distinct (%)	37.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	302.56187

Minimum	0
Maximum	6727.8
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	43.6
Q1	83.6
median	166.2
Q3	355.075
95-th percentile	1072.3135
Maximum	6727.8
Range	6727.8
Interquartile range (IQR)	271.475

Descriptive statistics

Standard deviation	364.31957
Coefficient of variation (CV)	1.2041159
Kurtosis	18.266694
Mean	302.56187
Median Absolute Deviation (MAD)	101
Skewness	3.0542837
Sum	4520879.5
Variance	132728.75
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.6	188	1.3%
53.6	146	1.0%
47.2	129	0.9%
37.6	124	0.8%
83.6	118	0.8%
73.6	114	0.8%
61.6	100	0.7%
38.5	73	0.5%
103.6	68	0.5%
113.6	67	0.4%
Other values (5658)	13815	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1.3	1	< 0.1%
3.6	2	< 0.1%
5.4	4	< 0.1%
10.6	1	< 0.1%
15.7	1	< 0.1%
18.4	1	< 0.1%
20	1	< 0.1%
20.9	2	< 0.1%
21	1	< 0.1%

Value	Count	Frequency (%)
6727.8	1	< 0.1%
6232.2	1	< 0.1%
3498.4	1	< 0.1%
3145.85	1	< 0.1%
3137.35	1	< 0.1%
2938.8	1	< 0.1%
2864.72	1	< 0.1%
2676.3	1	< 0.1%
2636.77	1	< 0.1%
2590.15	1	< 0.1%

UseByTime
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

0	14238
1	704

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	14942
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14942	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	14942	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14942	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14238	95.3%
1	704	4.7%

AthleticsActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	36
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	14796
1.0	110

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44718
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14796	99.0%
1.0	110	0.7%
(Missing)	36	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14796	99.3%
1.0	110	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	29702	66.4%
.	14906	33.3%
1	110	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29812	66.7%
Other Punctuation	14906	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29702	99.6%
1	110	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	14906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44718	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29702	66.4%
.	14906	33.3%
1	110	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44718	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29702	66.4%
.	14906	33.3%
1	110	0.2%

WaterActivities
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	37
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	10490
1.0	4415

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44715
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	10490	70.2%
1.0	4415	29.5%
(Missing)	37	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	10490	70.4%
1.0	4415	29.6%

Most occurring characters

Value	Count	Frequency (%)
0	25395	56.8%
.	14905	33.3%
1	4415	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29810	66.7%
Other Punctuation	14905	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25395	85.2%
1	4415	14.8%

Other Punctuation

Value	Count	Frequency (%)
.	14905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44715	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25395	56.8%
.	14905	33.3%
1	4415	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44715	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25395	56.8%
.	14905	33.3%
1	4415	9.9%

FitnessActivities
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	35
Missing (%)	0.2%
Memory size	116.9 KiB

1.0	8587
0.0	6320

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44721
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	8587	57.5%
0.0	6320	42.3%
(Missing)	35	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	8587	57.6%
0.0	6320	42.4%

Most occurring characters

Value	Count	Frequency (%)
0	21227	47.5%
.	14907	33.3%
1	8587	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29814	66.7%
Other Punctuation	14907	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	21227	71.2%
1	8587	28.8%

Other Punctuation

Value	Count	Frequency (%)
.	14907	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44721	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	21227	47.5%
.	14907	33.3%
1	8587	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	21227	47.5%
.	14907	33.3%
1	8587	19.2%

DanceActivities
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	36
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	14906

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44718
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14906	99.8%
(Missing)	36	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14906	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	29812	66.7%
.	14906	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29812	66.7%
Other Punctuation	14906	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29812	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44718	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29812	66.7%
.	14906	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44718	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29812	66.7%
.	14906	33.3%

TeamActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	35
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	14079
1.0	828

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44721
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14079	94.2%
1.0	828	5.5%
(Missing)	35	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14079	94.4%
1.0	828	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	28986	64.8%
.	14907	33.3%
1	828	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29814	66.7%
Other Punctuation	14907	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28986	97.2%
1	828	2.8%

Other Punctuation

Value	Count	Frequency (%)
.	14907	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44721	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28986	64.8%
.	14907	33.3%
1	828	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28986	64.8%
.	14907	33.3%
1	828	1.9%

RacketActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	37
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	14556
1.0	349

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44715
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14556	97.4%
1.0	349	2.3%
(Missing)	37	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14556	97.7%
1.0	349	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	29461	65.9%
.	14905	33.3%
1	349	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29810	66.7%
Other Punctuation	14905	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29461	98.8%
1	349	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	14905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44715	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29461	65.9%
.	14905	33.3%
1	349	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44715	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29461	65.9%
.	14905	33.3%
1	349	0.8%

CombatActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	33
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	13300
1.0	1609

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44727
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	13300	89.0%
1.0	1609	10.8%
(Missing)	33	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	13300	89.2%
1.0	1609	10.8%

Most occurring characters

Value	Count	Frequency (%)
0	28209	63.1%
.	14909	33.3%
1	1609	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29818	66.7%
Other Punctuation	14909	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28209	94.6%
1	1609	5.4%

Other Punctuation

Value	Count	Frequency (%)
.	14909	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44727	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28209	63.1%
.	14909	33.3%
1	1609	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44727	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28209	63.1%
.	14909	33.3%
1	1609	3.6%

NatureActivities
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	47
Missing (%)	0.3%
Memory size	116.9 KiB

0.0	14895

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44685
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14895	99.7%
(Missing)	47	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14895	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	29790	66.7%
.	14895	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29790	66.7%
Other Punctuation	14895	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29790	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14895	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44685	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29790	66.7%
.	14895	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44685	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29790	66.7%
.	14895	33.3%

SpecialActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	44
Missing (%)	0.3%
Memory size	116.9 KiB

0.0	14503
1.0	395

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44694
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14503	97.1%
1.0	395	2.6%
(Missing)	44	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14503	97.3%
1.0	395	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	29401	65.8%
.	14898	33.3%
1	395	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29796	66.7%
Other Punctuation	14898	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29401	98.7%
1	395	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	14898	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44694	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29401	65.8%
.	14898	33.3%
1	395	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29401	65.8%
.	14898	33.3%
1	395	0.9%

OtherActivities
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	35
Missing (%)	0.2%
Memory size	116.9 KiB

0.0	14879
1.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44721
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14879	99.6%
1.0	28	0.2%
(Missing)	35	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14879	99.8%
1.0	28	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	29786	66.6%
.	14907	33.3%
1	28	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29814	66.7%
Other Punctuation	14907	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29786	99.9%
1	28	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	14907	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44721	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29786	66.6%
.	14907	33.3%
1	28	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29786	66.6%
.	14907	33.3%
1	28	0.1%

NumberOfFrequencies
Real number (ℝ)

HIGH CORRELATION

Distinct	415
Distinct (%)	2.8%
Missing	26
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	40.120542

Minimum	1
Maximum	1031
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	18
Q3	45
95-th percentile	152
Maximum	1031
Range	1030
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	65.466459
Coefficient of variation (CV)	1.6317441
Kurtosis	37.729619
Mean	40.120542
Median Absolute Deviation (MAD)	14
Skewness	4.8438354
Sum	598438
Variance	4285.8573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	661	4.4%
3	623	4.2%
1	609	4.1%
4	583	3.9%
5	556	3.7%
6	521	3.5%
7	462	3.1%
8	439	2.9%
9	417	2.8%
10	383	2.6%
Other values (405)	9662	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	609	4.1%
2	661	4.4%
3	623	4.2%
4	583	3.9%
5	556	3.7%
6	521	3.5%
7	462	3.1%
8	439	2.9%
9	417	2.8%
10	383	2.6%

Value	Count	Frequency (%)
1031	1	< 0.1%
961	1	< 0.1%
954	1	< 0.1%
893	2	< 0.1%
888	1	< 0.1%
824	1	< 0.1%
769	1	< 0.1%
768	1	< 0.1%
735	1	< 0.1%
727	1	< 0.1%

AttendedClasses
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	230
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.152456

Minimum	0
Maximum	581
Zeros	10432
Zeros (%)	69.8%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	63
Maximum	581
Range	581
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	29.154202
Coefficient of variation (CV)	2.8716403
Kurtosis	43.683013
Mean	10.152456
Median Absolute Deviation (MAD)	0
Skewness	5.2509804
Sum	151698
Variance	849.96752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10432	69.8%
1	411	2.8%
2	214	1.4%
3	195	1.3%
4	171	1.1%
6	150	1.0%
5	144	1.0%
7	139	0.9%
9	113	0.8%
10	112	0.7%
Other values (220)	2861	19.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10432	69.8%
1	411	2.8%
2	214	1.4%
3	195	1.3%
4	171	1.1%
5	144	1.0%
6	150	1.0%
7	139	0.9%
8	96	0.6%
9	113	0.8%

Value	Count	Frequency (%)
581	1	< 0.1%
547	1	< 0.1%
406	1	< 0.1%
355	1	< 0.1%
334	1	< 0.1%
324	1	< 0.1%
318	2	< 0.1%
312	1	< 0.1%
300	1	< 0.1%
297	1	< 0.1%

AllowedWeeklyVisitsBySLA
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	535
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	5.7595613

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	7
Q3	7
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.1188667
Coefficient of variation (CV)	0.36788682
Kurtosis	-0.31894013
Mean	5.7595613
Median Absolute Deviation (MAD)	0
Skewness	-1.2287199
Sum	82978
Variance	4.489596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
7	10505	70.3%
2	2341	15.7%
4	742	5.0%
1	525	3.5%
3	160	1.1%
6	118	0.8%
5	16	0.1%
(Missing)	535	3.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	525	3.5%
2	2341	15.7%
3	160	1.1%
4	742	5.0%
5	16	0.1%
6	118	0.8%
7	10505	70.3%

Value	Count	Frequency (%)
7	10505	70.3%
6	118	0.8%
5	16	0.1%
4	742	5.0%
3	160	1.1%
2	2341	15.7%
1	525	3.5%

AllowedNumberOfVisitsBySLA
Real number (ℝ)

HIGH CORRELATION

Distinct	270
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.636299

Minimum	0.56
Maximum	240.03
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0.56
5-th percentile	8.71
Q1	25.72
median	38.99
Q3	60.97
95-th percentile	62.02
Maximum	240.03
Range	239.47
Interquartile range (IQR)	35.25

Descriptive statistics

Standard deviation	21.066166
Coefficient of variation (CV)	0.50595673
Kurtosis	9.7532715
Mean	41.636299
Median Absolute Deviation (MAD)	21.57
Skewness	1.0902016
Sum	622129.58
Variance	443.78334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.97	4462	29.9%
17.42	1497	10.0%
30.03	1205	8.1%
28.98	1138	7.6%
62.02	646	4.3%
59.01	508	3.4%
34.84	483	3.2%
8.71	367	2.5%
21.98	286	1.9%
67.97	285	1.9%
Other values (260)	4065	27.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.56	2	< 0.1%
0.71	4	< 0.1%
0.86	1	< 0.1%
1.42	1	< 0.1%
1.72	4	< 0.1%
1.86	2	< 0.1%
2	1	< 0.1%
2.03	2	< 0.1%
2.28	2	< 0.1%
2.29	2	< 0.1%

Value	Count	Frequency (%)
240.03	20	0.1%
224	1	< 0.1%
206.01	1	< 0.1%
178.01	2	< 0.1%
156.03	1	< 0.1%
144.97	1	< 0.1%
137.16	4	< 0.1%
104.13	2	< 0.1%
103.71	1	< 0.1%
95.97	2	< 0.1%

RealNumberOfVisits
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	60
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3207067

Minimum	0
Maximum	84
Zeros	2698
Zeros (%)	18.1%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	7
95-th percentile	17
Maximum	84
Range	84
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	6.3329585
Coefficient of variation (CV)	1.1902476
Kurtosis	14.621097
Mean	5.3207067
Median Absolute Deviation (MAD)	3
Skewness	2.8727388
Sum	79502
Variance	40.106363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2698	18.1%
1	1641	11.0%
2	1635	10.9%
3	1440	9.6%
4	1323	8.9%
5	1045	7.0%
6	913	6.1%
7	711	4.8%
8	611	4.1%
9	466	3.1%
Other values (50)	2459	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2698	18.1%
1	1641	11.0%
2	1635	10.9%
3	1440	9.6%
4	1323	8.9%
5	1045	7.0%
6	913	6.1%
7	711	4.8%
8	611	4.1%
9	466	3.1%

Value	Count	Frequency (%)
84	2	< 0.1%
72	3	< 0.1%
66	2	< 0.1%
58	1	< 0.1%
57	1	< 0.1%
56	1	< 0.1%
53	1	< 0.1%
52	1	< 0.1%
51	2	< 0.1%
50	1	< 0.1%

NumberOfRenewals
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2052603

Minimum	0
Maximum	6
Zeros	6103
Zeros (%)	40.8%
Negative	0
Negative (%)	0.0%
Memory size	116.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.3813047
Coefficient of variation (CV)	1.1460633
Kurtosis	0.83610407
Mean	1.2052603
Median Absolute Deviation (MAD)	1
Skewness	1.198546
Sum	18009
Variance	1.9080026
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	6103	40.8%
1	4020	26.9%
2	2347	15.7%
3	1209	8.1%
4	733	4.9%
5	444	3.0%
6	86	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6103	40.8%
1	4020	26.9%
2	2347	15.7%
3	1209	8.1%
4	733	4.9%
5	444	3.0%
6	86	0.6%

Value	Count	Frequency (%)
6	86	0.6%
5	444	3.0%
4	733	4.9%
3	1209	8.1%
2	2347	15.7%
1	4020	26.9%
0	6103	40.8%

HasReferences
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	12
Missing (%)	0.1%
Memory size	116.9 KiB

0.0	14633
1.0	297

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44790
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14633	97.9%
1.0	297	2.0%
(Missing)	12	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14633	98.0%
1.0	297	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	29563	66.0%
.	14930	33.3%
1	297	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29860	66.7%
Other Punctuation	14930	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29563	99.0%
1	297	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	14930	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44790	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29563	66.0%
.	14930	33.3%
1	297	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44790	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29563	66.0%
.	14930	33.3%
1	297	0.7%

NumberOfReferences
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

0	14646
1	267
2	21
3	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	14942
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14942	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	14942	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14942	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14646	98.0%
1	267	1.8%
2	21	0.1%
3	8	0.1%

Dropout
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	116.9 KiB

1	11968
0	2974

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	14942
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Most occurring characters

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14942	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	14942	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14942	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11968	80.1%
0	2974	19.9%

Auto

Heatmap
Table

	ID	Age	Income	DaysWithoutFrequency	LifetimeValue	NumberOfFrequencies	AttendedClasses	AllowedWeeklyVisitsBySLA	AllowedNumberOfVisitsBySLA	RealNumberOfVisits	NumberOfRenewals	Gender	LastPeriodStart	LastPeriodFinish	UseByTime	AthleticsActivities	WaterActivities	FitnessActivities	TeamActivities	RacketActivities	CombatActivities	SpecialActivities	OtherActivities	HasReferences	NumberOfReferences	Dropout
ID	1.000	-0.015	-0.010	-0.006	-0.001	-0.004	0.007	-0.011	-0.003	0.009	-0.010	0.007	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.016	0.024	0.012	0.000
Age	-0.015	1.000	0.865	0.023	-0.022	0.085	-0.307	0.374	0.306	0.074	0.000	0.066	0.108	0.114	0.107	0.046	0.526	0.540	0.323	0.086	0.122	0.258	0.075	0.199	0.120	0.290
Income	-0.010	0.865	1.000	0.011	-0.032	0.059	-0.274	0.336	0.261	0.067	-0.007	0.042	0.087	0.093	0.097	0.025	0.437	0.460	0.169	0.020	0.067	0.197	0.054	0.188	0.113	0.232
DaysWithoutFrequency	-0.006	0.023	0.011	1.000	-0.117	-0.272	-0.102	0.021	0.103	-0.539	0.072	0.037	0.194	0.195	0.130	0.031	0.042	0.029	0.060	0.051	0.019	0.024	0.000	0.036	0.020	0.092
LifetimeValue	-0.001	-0.022	-0.032	-0.117	1.000	0.744	0.491	-0.381	-0.088	0.011	0.665	0.065	0.144	0.145	0.020	0.000	0.312	0.224	0.077	0.000	0.000	0.086	0.000	0.204	0.122	0.310
NumberOfFrequencies	-0.004	0.085	0.059	-0.272	0.744	1.000	0.244	-0.058	0.081	0.412	0.544	0.066	0.086	0.088	0.095	0.053	0.110	0.012	0.000	0.022	0.031	0.188	0.000	0.090	0.051	0.218
AttendedClasses	0.007	-0.307	-0.274	-0.102	0.491	0.244	1.000	-0.846	-0.556	-0.073	0.308	0.000	0.092	0.091	0.034	0.000	0.293	0.226	0.043	0.000	0.062	0.036	0.000	0.186	0.113	0.248
AllowedWeeklyVisitsBySLA	-0.011	0.374	0.336	0.021	-0.381	-0.058	-0.846	1.000	0.693	0.166	-0.201	0.000	0.099	0.110	0.114	0.016	0.530	0.600	0.400	0.272	0.170	0.031	0.134	0.166	0.103	0.221
AllowedNumberOfVisitsBySLA	-0.003	0.306	0.261	0.103	-0.088	0.081	-0.556	0.693	1.000	0.070	-0.131	0.036	0.185	0.186	0.077	0.019	0.440	0.479	0.149	0.194	0.186	0.101	0.328	0.124	0.074	0.286
RealNumberOfVisits	0.009	0.074	0.067	-0.539	0.011	0.412	-0.073	0.166	0.070	1.000	0.022	0.069	0.056	0.060	0.069	0.058	0.030	0.116	0.069	0.020	0.082	0.110	0.000	0.022	0.000	0.161
NumberOfRenewals	-0.010	0.000	-0.007	0.072	0.665	0.544	0.308	-0.201	-0.131	0.022	1.000	0.078	0.284	0.277	0.128	0.019	0.224	0.142	0.100	0.026	0.000	0.109	0.052	0.185	0.113	0.305
Gender	0.007	0.066	0.042	0.037	0.065	0.066	0.000	0.000	0.036	0.069	0.078	1.000	0.075	0.074	0.039	0.021	0.000	0.104	0.095	0.019	0.116	0.029	0.033	0.000	0.000	0.029
LastPeriodStart	0.000	0.108	0.087	0.194	0.144	0.086	0.092	0.099	0.185	0.056	0.284	0.075	1.000	0.726	0.063	0.032	0.237	0.179	0.081	0.216	0.024	0.081	0.091	0.037	0.026	0.767
LastPeriodFinish	0.010	0.114	0.093	0.195	0.145	0.088	0.091	0.110	0.186	0.060	0.277	0.074	0.726	1.000	0.062	0.032	0.263	0.252	0.096	0.211	0.062	0.064	0.073	0.061	0.038	0.726
UseByTime	0.000	0.107	0.097	0.130	0.020	0.095	0.034	0.114	0.077	0.069	0.128	0.039	0.063	0.062	1.000	0.009	0.000	0.064	0.030	0.019	0.015	0.011	0.000	0.006	0.000	0.110
AthleticsActivities	0.000	0.046	0.025	0.031	0.000	0.053	0.000	0.016	0.019	0.058	0.019	0.021	0.032	0.032	0.009	1.000	0.026	0.069	0.000	0.007	0.014	0.009	0.000	0.010	0.012	0.007
WaterActivities	0.000	0.526	0.437	0.042	0.312	0.110	0.293	0.530	0.440	0.030	0.224	0.000	0.237	0.263	0.000	0.026	1.000	0.619	0.073	0.079	0.164	0.045	0.021	0.137	0.143	0.184
FitnessActivities	0.000	0.540	0.460	0.029	0.224	0.012	0.226	0.600	0.479	0.116	0.142	0.104	0.179	0.252	0.064	0.069	0.619	1.000	0.244	0.146	0.253	0.058	0.042	0.108	0.114	0.154
TeamActivities	0.000	0.323	0.169	0.060	0.077	0.000	0.043	0.400	0.149	0.069	0.100	0.095	0.081	0.096	0.030	0.000	0.073	0.244	1.000	0.008	0.047	0.025	0.000	0.028	0.029	0.062
RacketActivities	0.020	0.086	0.020	0.051	0.000	0.022	0.000	0.272	0.194	0.020	0.026	0.019	0.216	0.211	0.019	0.007	0.079	0.146	0.008	1.000	0.035	0.014	0.000	0.016	0.023	0.063
CombatActivities	0.000	0.122	0.067	0.019	0.000	0.031	0.062	0.170	0.186	0.082	0.000	0.116	0.024	0.062	0.015	0.014	0.164	0.253	0.047	0.035	1.000	0.038	0.010	0.006	0.009	0.000
SpecialActivities	0.000	0.258	0.197	0.024	0.086	0.188	0.036	0.031	0.101	0.110	0.109	0.029	0.081	0.064	0.011	0.009	0.045	0.058	0.025	0.014	0.038	1.000	0.106	0.014	0.010	0.056
OtherActivities	0.016	0.075	0.054	0.000	0.000	0.000	0.000	0.134	0.328	0.000	0.052	0.033	0.091	0.073	0.000	0.000	0.021	0.042	0.000	0.000	0.010	0.106	1.000	0.000	0.000	0.018
HasReferences	0.024	0.199	0.188	0.036	0.204	0.090	0.186	0.166	0.124	0.022	0.185	0.000	0.037	0.061	0.006	0.010	0.137	0.108	0.028	0.016	0.006	0.014	0.000	1.000	0.977	0.018
NumberOfReferences	0.012	0.120	0.113	0.020	0.122	0.051	0.113	0.103	0.074	0.000	0.113	0.000	0.026	0.038	0.000	0.012	0.143	0.114	0.029	0.023	0.009	0.010	0.000	0.977	1.000	0.013
Dropout	0.000	0.290	0.232	0.092	0.310	0.218	0.248	0.221	0.286	0.161	0.305	0.029	0.767	0.726	0.110	0.007	0.184	0.154	0.062	0.063	0.000	0.056	0.018	0.018	0.013	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ID	Age	Gender	Income	EnrollmentStart	EnrollmentFinish	LastPeriodStart	LastPeriodFinish	DateLastVisit	DaysWithoutFrequency	LifetimeValue	UseByTime	FitnessActivities	TeamActivities	CombatActivities	SpecialActivities	OtherActivities	NumberOfFrequencies	AttendedClasses	AllowedWeeklyVisitsBySLA	AllowedNumberOfVisitsBySLA	RealNumberOfVisits	NumberOfRenewals	Dropout
0	10000	60	Female	5500.0	2019-09-03	2019-10-31	2019-07-01	2019-12-31	2019-10-30	1	89.35	0	1.0	0.0	0.0	0.0	0.0	9.0	7	NaN	6.28	2	0	0
1	10001	29	Female	2630.0	2014-08-12	2015-09-14	2015-01-01	2015-12-31	2015-07-16	60	479.20	0	0.0	0.0	0.0	1.0	0.0	23.0	1	2.0	17.42	1	2	1
2	10002	23	Male	1980.0	2017-05-02	2017-06-01	2017-01-01	2017-06-30	2017-05-25	7	37.60	0	1.0	0.0	0.0	0.0	0.0	6.0	0	7.0	30.03	6	0	1
3	10003	9	Male	0.0	2018-09-05	2019-02-12	2018-07-01	2019-06-30	2019-01-21	22	155.40	0	0.0	1.0	0.0	0.0	0.0	20.0	2	2.0	17.72	3	0	1
4	10004	35	Male	4320.0	2016-04-20	2018-06-07	2018-01-01	2018-06-30	2017-11-09	210	373.20	0	1.0	0.0	0.0	0.0	NaN	41.0	0	7.0	60.97	0	3	1
5	10005	24	Female	2220.0	2015-12-01	2016-07-31	2016-01-01	2016-12-31	2016-07-28	3	140.00	0	1.0	0.0	0.0	0.0	0.0	28.0	0	7.0	59.01	26	0	1
6	10006	23	Male	2340.0	2015-10-06	2019-04-11	2019-01-01	2019-06-30	2019-03-26	16	143.50	0	1.0	0.0	0.0	0.0	0.0	22.0	0	7.0	30.03	3	3	1
7	10007	23	Male	1910.0	2015-03-25	2019-07-31	2019-01-01	2019-06-30	2019-04-23	99	233.90	1	1.0	0.0	0.0	0.0	0.0	34.0	0	7.0	60.97	11	5	1
8	10008	29	Male	3220.0	2016-04-08	2017-06-07	2017-01-01	2017-06-30	2017-03-30	69	212.60	0	0.0	0.0	1.0	0.0	0.0	6.0	0	7.0	60.97	0	2	1
9	10009	14	Female	0.0	2016-07-07	2017-02-01	2016-07-01	2017-06-30	2016-11-19	74	253.50	0	0.0	1.0	0.0	0.0	0.0	6.0	6	2.0	17.72	0	2	1

	ID	Age	Gender	Income	EnrollmentStart	EnrollmentFinish	LastPeriodStart	LastPeriodFinish	DateLastVisit	DaysWithoutFrequency	LifetimeValue	WaterActivities	FitnessActivities	CombatActivities	NumberOfFrequencies	AttendedClasses	AllowedWeeklyVisitsBySLA	AllowedNumberOfVisitsBySLA	RealNumberOfVisits	NumberOfRenewals	Dropout
14932	24932	20	Female	1590.0	2018-02-27	2018-07-31	2018-01-01	2018-12-31	2018-06-15	46	92.40	1.0	0.0	0.0	4.0	0	7.0	66.99	4	0	1
14933	24933	18	Male	1540.0	2016-10-11	2016-11-11	2016-07-01	2016-12-31	2016-11-10	1	47.60	0.0	1.0	0.0	2.0	0	7.0	30.03	2	0	1
14934	24934	21	Male	2170.0	2018-04-04	2018-06-07	2018-01-01	2018-06-30	2018-04-04	64	50.40	0.0	1.0	0.0	1.0	0	7.0	60.97	0	0	1
14935	24935	23	Female	1440.0	2016-11-02	2018-01-07	2017-07-01	2018-06-30	2017-10-23	76	248.00	0.0	1.0	0.0	89.0	0	7.0	60.97	0	1	1
14936	24936	21	Female	1820.0	2016-11-11	2017-08-29	2017-01-01	2017-12-31	2017-06-14	76	124.50	0.0	0.0	1.0	12.0	0	7.0	60.97	1	2	1
14937	24937	14	Male	0.0	2016-09-08	2016-09-08	2019-07-01	2019-12-31	2019-10-29	2	1460.45	1.0	0.0	0.0	112.0	96	4.0	34.84	8	3	0
14938	24938	39	Male	NaN	2015-09-17	2016-06-04	2016-01-01	2016-06-30	2016-04-27	38	343.85	0.0	0.0	1.0	57.0	0	7.0	60.97	3	0	1
14939	24939	20	Male	1810.0	2017-03-01	2017-03-31	2017-01-01	2017-06-30	2017-03-29	2	43.60	0.0	1.0	0.0	6.0	0	7.0	30.03	8	0	1
14940	24940	55	Male	4800.0	2018-03-01	2018-03-01	2019-07-01	2019-12-31	2019-10-28	3	788.60	1.0	0.0	0.0	185.0	155	3.0	15.87	7	2	0
14941	24941	32	Female	3700.0	2016-04-01	2019-06-11	2019-01-01	2019-06-30	2019-05-28	14	919.60	0.0	1.0	0.0	169.0	1	7.0	60.97	13	4	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common